103results about How to "Reduce optimization costs" patented technology

The invention relates to an optimized design method for modelling of an end wall of a high load fan/compressor. The method comprises eleven steps. As the stage pneumatic load is improved, internal flow of the fan/compressor is more severe, massive secondary flow is easily generated in an area close to the end wall, and a risk of flow stall exists. The modelling of the end wall has important influence on control over the secondary flow in an end area of the high load compressor, and becomes an important research direction. Firstly, an end wall modelling parameter defining method is researched; secondarily, based on an adaptive genetic algorithm and an artificial neural network response surface model, which are developed by the research group, an orthogonal experimental design, end wall parameter definition and a flow field value simulating technology are combined to realize automatic global optimization of the end wall of the compressor; thirdly, the effectiveness of the optimizing method is verified through different test functions; finally, a blade grid of the compressor is subjected to nonaxisymmetrical optimization based on the method. A result shows that the blade grid after modelling has good pneumatic performance.

The invention provides a network coverage evaluation method and a device, wherein the network coverage evaluation method comprises the following steps: confirming that backflow telephone traffic of the second generation communication network residential quarter excesses a first set threshold value and the third generation communication network residential quarter exists in a set range; confirming that parameters of the backflow telephone traffic satisfy backflow girds of the first set standard in the second generation communication network residential quarter, wherein the backflow girds are divided according to the set rules and are a plurality of geographic areas in the second generation communication network residential quarter; confirming that parameters of the network coverage satisfy the backflow girds of the second set standard in the backflow girds which satisfy the first set standard; judging that the backflow girds of the second set standard account for the proportion of the backflow girds which satisfy the first set standard; and confirming that depth coverage of the third communication network within the set range of the second communication network residential quarter is not enough, if the proportion satisfies a second set threshold value. By means of the network coverage evaluation method and the device, optimization efficiency of the network is improved and optimization cost of the network is saved.

The embodiment of the invention discloses a service traffic limiting method, a server and a terminal. The method comprises the steps of extracting business interface information contained in business request information if the business request information sent by a user terminal is received; and returning a retry instruction to the user terminal if the current response number corresponding to the business interface information is greater than the preset maximum response number, wherein the retry instruction indicates that the user terminal resends the business request information according to a retry time interval contained in a traffic control strategy sent by a server. According to the embodiment of the invention, when the user terminal accesses the server for the first time, the control strategy is sent to the user terminal, when the server is in a full load condition, the retry instruction is sent to the user terminal, and the user terminal sends the business request information according to the retry time interval, so the problem that the optimization cost is relatively high and the utilization efficiency is relatively low is solved.

A field operation optimization method for an SCR (selective catalytic reduction) denitration system includes the steps of using a geometric center of an SCR denitration system reactor body as an origin of coordinates to establish a three-dimensional model of the SCR denitration system; meshing the three-dimensional model according to structural features of the SCR denitration system to obtain a mesh model; establishing a physical model for internal structure of the SCR denitration system, setting transfer equations for meshes in the mesh grid according to the physical model, and determining initial boundary conditions of the mesh grid; subjecting the SCR denitration system to field test so as to obtain smoke parameters of field operation of the SCR denitration system; introducing smoke parameters into the mesh model to allow for simulation reaction to acquire operational condition parameters of the SCR denitration system; subjecting the SCR denitration system to field operation parameter optimization according to the condition parameters. The method has the advantages that optimization cost can be reduced, optimization efficiency can be improved, and more accurate condition parameters can be obtained by changing meshing and parameter settings so that optimization accuracy can be improved.

The invention relates to a method and a system for optimizing a power communication network circuit. The method comprises the following steps: constructing a cost function of a to-be-selected power communication network circuit planning scheme and calculating a ring formation rate; establishing a fitness function according to the cost function and the ring formation rate; employing a particle swarm optimization to obtain a global optimal position which meets preset constraint conditions and whose fitness is the smallest in all particles; obtaining an optimal solution of circuit selection parameters; and taking the circuit corresponding to the optimal solution as an optimal circuit of the power communication network circuit planning. The preset constraint conditions include the circuit selected correspondingly via a position and the established circuit form a connected graph, the ring formation rate of nodes in the connected graph formed by the circuit selected correspondingly via the position and the established circuit is greater than or equal to a preset threshold value, and the circuit selected correspondingly via the position meets service distribution constraints, so that the circuit selection parameters corresponding to the global optimal position are optimal; and through constructing the circuit selected correspondingly via the optimal circuit selection parameters, while the reliability of the power communication network circuit is improved, the cost is reduced.

The invention discloses a cutting method and a cutting system for realizing network convergence, which belong to the technical field of communication. The method comprises the following steps that: in a process of converging network, a converged network transmits an equal public land mobile network (PLMN) list (EPLMN LIST) to a user beneath, wherein the EPLMN LIST comprises an identification of the converged network and the identification of a convergence target network which are used for informing the user to cut to the convergence target network; the user which receives the EPLMN LIST transmitted by the converged network enters a cutting position area of the convergence target network and initiates an access request to the convergence target network; and the convergence target network accepts the access of the user to the convergence target network. After adopting the technical scheme of the invention in a network cutting process, the services of all users are not interrupted.

The invention discloses an authority control method and device, computer equipment and a storage medium. The method comprises the following steps: if an authority updating instruction is received, obtaining an address authority table, a role authority table and a to-be-updated authority data table; selecting a first corresponding relation from the address permission table, selecting a second corresponding relation from the role permission table, and performing equivalent correlation of permission types on the selected first corresponding relation and second corresponding relation in the address permission table and the role permission table to obtain a to-be-confirmed address and a corresponding to-be-confirmed role; updating the mapping relation in the authority data table according to the to-be-confirmed role and the to-be-confirmed address and the target identification information; and if the access request of the user to the target address is received, determining the access permission of the user to the target address according to the permission data table, and responding to the access request according to the access permission. According to the technical scheme, the processing efficiency of authority control is effectively improved, and meanwhile the optimization cost is reduced.

The invention relates to an automatic production line optimization method based on cache region capacity calculation, belongs to the technical field of automatic production line optimization design, and solves the problems of production line logistics blockage, low production efficiency, complex cache region capacity formula and low precision caused by incapability of eliminating equipment failure rate in the prior art. The method comprises the following steps: determining production parameters and key section bottleneck procedures of an automatic production line; establishing an automatic production line simulation model according to the process flow of the initial production line and the factory layout, loading production parameters of each procedure, and then running to obtain a production efficiency evaluation index; changing the numerical values of the production parameters of each procedure, re-operating the model, and determining factors influencing the production efficiency of the production line and optimization numerical values according to a simulation result; arranging cache regions on the two sides of the bottleneck procedure of the key section respectively, operating the model again, and obtaining the cache region capacity which does not affect the production efficiency of the production line; and updating the initial production line as an optimized production line.

Embodiments of the present invention provide a pilot frequency switching method and device in TDD-LTE network. The pilot frequency switching method comprises the steps of obtaining MRO measurement data; acquiring all effective sampling points in the switching band according to the MRO measurement data, respectively acquiring a first level value of a target service cell and a second level value ofan adjacent cell in the switching band, and acquiring level fluctuation data of the adjacent cell in the switching band; and determining a pilot frequency switching threshold optimization scheme of the target service cell based on the first level value, the second level value, a preset pilot frequency switching strategy and a parameter threshold value, determining a pilot frequency switching timedelay optimization scheme of the target service cell according to the level fluctuation data of the adjacent cell in the switching band, and performing pilot frequency switching on the target servicecell. According to the invention, the pilot frequency switching threshold and the pilot frequency switching time delay of each serving cell can be accurately and efficiently formulated differentially,and fine optimization of the whole network cell can be realized.

The invention relates to the field of hybrid power buses and provides a torsional vibration prediction and elimination method for a drive system of a hybrid power bus in order to improve torsional vibration detection efficiency of the drive system of the hybrid power bus and reduce detection costs. The method comprises the steps of establishing a torsional vibration detection platform, defining an independent variable of the drive system of the hybrid power bus, and determining an upper limit and a lower limit of the independent variable; obtaining an independent variable sample point matrix of the drive system of the experimental hybrid power bus from a design space; building an agent model of the drive system of the hybrid power bus; inputting the independent variable of the drive system of the to-be-detected hybrid power bus to the agent model to calculate a corresponding torque estimation value, and judging whether the drive system of the hybrid power bus generates torsional vibration in a running process or not; and if the torsional vibration is generated, performing optimization and modification on the value of the independent variable to enable vibration amplitude of a torque corresponding to the independent variable to be minimal, thereby eliminating the torsional vibration. The method is low in technical threshold, short in calculation time, high in prediction efficiency, high in accuracy, low in prediction cost and high in practicality.

The invention relates to technology of optimization of mobile communication networks, in particular to a data service flow and cell reelection-based mobile network analysis method. The method comprises the following steps of: splitting signaling flow and service flow from the flow of a user data service of the mobile network; finding a cell with large flow difference by comparing the flow of the user data service of the cell with the flow in the same historical period; judging whether the frequency of cell reelection in the process of using the cell by the user is over-high or not, and optimizing the network structure of the cell; and calculating a ratio of the signaling flow to the service flow of a user terminal, and judging whether the user terminal has problems or not. The method can lower network optimization cost, accurately positions the problem of networks, can provide analysis opinions of optimizing terminal designs and configuration for manufacturers and the users of mobile terminals, and can improve the data service perception of the users.

The invention discloses a statement early warning method. The method comprises the steps of obtaining a structured query statement of an application program accessing a preset production database; obtaining an execution plan of the structured query statement, and extracting preset parameters related to slow query from the execution plan; judging whether the extracted preset parameters meet a preset slow query early warning condition or not; and when the preset parameter satisfies a preset slow query early warning condition, adding the corresponding structured query statement into a preset early warning list. The invention further discloses a statement early warning device, equipment and a computer readable storage medium. The optimization cost of slow query can be reduced on the premise that the performance of the production database is not influenced.

The invention discloses a product weight control method based on iteration modeling and optimization for injection molding process. The method is directed at the problems of frequent changing of operational parameters, difficult process modeling, limited model precision and the like in the injection molding process and realizes rapid product weight control based on iteration modeling and optimization by utilizing the characteristics of low cost and batch repeatability of the injection molding process. The method provided by the invention can avoid process modeling, reduce experimental expenditure in the process of product weight control and shorten control time, and is of important significance to improvement of weight control efficiency in the process of injection molding and realization of energy saving and emission reduction in the production process of the injection molding industry.

The present invention discloses an optimum design method for an anterior angle and a relief angle of a groove milling tool, and belongs to the technical field of mechanical manufacturing. The method is characterized by: by comparing and analyzing a temperature value of the tool under different combination conditions of the anterior angle and the relief angle, obtaining an optimal anterior angle and an optimal relief angle of the tool. A theoretical calculation of the tool temperature and an orthogonal experiment design method are combined by the method of the invention to optimize the anterior angle and the relief angle of the tool, and an optimize accuracy is higher. According to the present invention, the method is free from a cutting experiment, so that an optimization period and an optimization cost is greatly reduced. The method of the present invention can be widely applied in a groove milling condition, and in various matching phenamena of the tool and a workpiece material.

The invention provides an optimization method for metal 3D printing technology parameters. The method comprises the steps of determining a quality characteristic Y value of this experiment; selectingcontrollable factors and all factor levels; designing an experiment orthogonal table and collecting experiment data based on a Taguchi method; analyzing the experiment data; selecting and estimating an optimal condition; determining the experiment reliability of the present stage; carrying out an experiment summary of the present stage and carrying out analysis. According to the optimization method for the metal 3D printing technology parameters, based on the Taguchi method, the experiment frequency is reduced, and the cost of optimizing the technology parameters is lowered. The rule of the influence of the controllable technology parameters such as powder spreading layer thickness, laser power, scanning speed and scanning line spacing distance on the specific density of a metal 3D printing part is disclosed.

The invention relates to a suspension optimization method and system, the method comprising the following steps: establishing a suspension kinematics model, selecting a plurality of hard point coordinates as design variables, designing a multi-dimensional design space according to the design variables, and designing a constraint target and an optimization target; randomly acquiring a plurality ofsample points through a Latin hypercube design method in a multidimensional design space; carrying out two-sided wheel co-directional run-out tests on the plurality of sampling points respectively toobtain a plurality of response values corresponding to the plurality of sample points; establishing a sparse response surface model according to the plurality of sample points and a corresponding plurality of response values; based on the constraint objective and sparse response surface, finding the optimal design point satisfying the constraint condition by a sequential quadratic programming method in the multidimensional design space, and obtaining the corresponding hard point coordinates; substituting the rigid point coordinates corresponding to the optimal design points into the suspensionkinematics model for test and verification. The invention can effectively reduce the running times of the double-side vehicle run-out tests of the suspension kinematics model and reduce the optimization cost.

The invention discloses a geometric parameter optimization method for a ball-end milling cutter based on co-simulation. A ball-end milling cutter parameter solid model is established through UG, three-dimensional milling finite element simulation analysis is performed through ABAQUS, UG and ABAQUS joint simulation is integrated under an ISIGHT multidisciplinary design optimization platform, and modeling, simulation and control are integrated; design variables, objective functions and constraints of the geometric parameter optimization are determined according to characteristics of a workpiecematerial and the processing requirements, ball-end milling cutter geometric parameters are optimized by using a genetic algorithm, optimal design parameters are determined by fully utilizing process automation, the optimization design efficiency is improved, the ball-end milling cutter geometric parameter optimization cost is reduced, the flexible requirements of modern manufacturing are met, anda new way is provided for cutter geometric parameter optimization.

The invention relates to a mobile communication network optimization technology, in particular to a mobile network intelligent analysis method based on data service flow and a system thereof. The method is as follows: splitting signaling flow and service flow from the flow of data service of a mobile network user, and analyzing access point name (APN) and HOST information of various services; utilizing relevant information of the service flow to find users using services with large service flow proportion; and carrying out data analysis and service mining in combination with relevant data of the users. In the mobile network intelligent analysis method, the business intelligence (BI) technology is applied to positioning of mobile network problems, so that an operator reduces the number of service analysts and reduces the service optimization cost. By deep discovery of the service flow rule, business opportunities are analyzed and mined in the service flow, the service experience of the users is improved, the current hot services are accurately positioned, and the market prospect is better analyzed.

The invention relates to a method and a device for optimizing the storage performance of a storage array and a storage device. The method comprises the following steps of: reading an information set preliminarily collected in the operation process of a storage array; classifying the information of the information set according to information eigenvalues in the information set to acquire an information category; counting the probability value of the acquired information category; respectively comparing the probability value of the information category with a preset threshold value; and using an eigenvalues of the information category with a probability value satisfying the threshold value as an optimizing value to optimize the storage array. The invention reads and analyzes the preliminarily collected information set to acquire the optimizing value, optimizes according to the generated optimizing value, automatically optimizes the storage performance of the storage array and improves the optimization efficiency of the storage performance.

The invention discloses a traditional Chinese medicine component compatibility optimizing method based on uniform design and an artificial neural network. The method comprises the following steps that 1, different compatibility groups are set by applying a uniform experimental design method; 2, a model adopted in efficacy evaluation is built; 3, different proportion-efficacy relation models are built by applying the artificial neural network, and the optimal proportion and the optimal efficacy are acquired through network searching. The traditional Chinese medicine component compatibility optimizing method based on the uniform design and the artificial neural network is reasonable in process design and high in operability and can be used for optimizing traditional Chinese medicine component compatibility; compared with a traditional method, the optimizing efficiency can be significantly improved, the optimizing cost can be reduced, and the advantages of being rapid to operate, accurate, good in repeatability and the like are achieved.

The invention relates to a method and a device for optimizing a speech recognition system, and belongs to the technical field of speech recognition. The method comprises the following steps: building a model which comprises a call layer, a navigation layer and an interaction layer, wherein the call layer and the navigation layer are correlated, and the navigation layer and the interaction layer are correlated; getting a fact table used for multi-dimension multi-index analysis through specific model processing operation according to the model; calculating the indexes evaluating the ability of the system through on-line analytical processing OLAP according to the fact table, and locating an abnormal factor pulling down the indexes; and removing the abnormal factor to optimize the system. According to the invention, a model is introduced, a machine is fully utilized to carry out automatic operation, and analysis can be made through an existing mature database analysis method. Thus, manpower is saved greatly, and the defects of artificial subjective experience, low efficiency of test under a complex system, incomplete coverage and ambiguous location are overcome.